JP7381620B2 - Signal lamp status data detection method and device - Google Patents

Description

The present disclosure relates to the field of smart transportation and automatic driving technology in the field of artificial intelligence technology, and particularly relates to a method and apparatus for detecting traffic light status data.

With the promotion of urbanization process and the development of traffic intelligent technology, traffic signal light status data has been widely applied, such as traffic information distribution, traffic information optimization, etc., and how to detect the traffic signal status data. Whether or not to do so is an issue that needs to be resolved as soon as possible.

In the related art, a commonly adopted method for detecting signal lamp status data is to collect signal lamp status data and create a detection rule based on the signal lamp status data in the previous time period, for example, to detect signal lamp status data in the first half of the time. is reflected on the absolute time axis of 24 hours that is one day, and based on this time axis, the missing and overlapping situations of signal light status data in the later time period are determined, and based on the missing and overlapping situations. and determining the detection result of signal lamp status data.

However, if the above method is adopted, the accuracy of the detection result will be low if the comprehensiveness of the detection is poor and the executed detection rule is incorrect.

The present disclosure provides a method and apparatus for detecting signal lamp status data to improve detection accuracy.

According to a first aspect of the present disclosure, a method for detecting signal lamp status data is provided, and the method for detecting signal lamp status data includes:
obtaining control information for the traffic signal lamp by obtaining signal lamp status data of a traffic signal lamp, wherein the signal lamp status data includes cycle time information and/or phase sequence information; The phase order information represents a release order of each phase corresponding to the traffic light, and the control information represents a control rule for the traffic light. and,
performing consistency matching on the signal lamp status data and the control information, obtaining a first matching result, and determining a detection result of the signal lamp status data based on the first matching result. .

According to a second aspect of the present disclosure, a signal lamp status data detection device is provided, and the signal lamp status data detection device includes:
An acquisition unit for acquiring signal lamp status data of a traffic signal lamp to acquire control information of the traffic signal lamp, the signal lamp status data including cycle time information and/or phase sequence information, and the cycle time The information represents time information for each lamp of the traffic light to turn on within a cycle, the phase order information represents the release order of each phase corresponding to the traffic light, and the control information represents control rules for the traffic light. an acquisition unit representing
a matching unit for performing consistency matching on the signal lamp status data and the control information to obtain a first matching result;
a determination unit for determining a detection result of the traffic light status data based on the first matching result.

According to a third aspect of the present disclosure, an electronic device is provided, the electronic device comprising:
at least one processor; and a memory communicatively connected to the at least one processor;
Instructions executable by the at least one processor are stored in the memory, and the instructions are executed by the at least one processor to cause the at least one processor to perform the method according to the first aspect. I can do it.

According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable medium having computer instructions stored thereon, the computer instructions for causing a computer to perform the method according to the first aspect. used.

According to a fifth aspect of the present disclosure, a computer program is provided, the computer program being stored on a readable storage medium, and at least one processor of an electronic device being able to read the computer program from the readable storage medium; The at least one processor causes the electronic device to perform the method according to the first aspect by executing the computer program.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure or to limit the scope of the disclosure. Other features of the disclosure will become more apparent from the following specification.

The drawings are used for a better understanding of the present invention and are not intended to limit the disclosure.
FIG. 1 is a schematic diagram according to a first example of the present disclosure. FIG. 2 is a schematic diagram of an application scene of a method for detecting signal lamp status data according to an embodiment of the present disclosure. FIG. 3 is a schematic diagram according to a second example of the present disclosure. FIG. 3 is a schematic diagram according to a third example of the present disclosure. FIG. 7 is a schematic diagram according to a fourth example of the present disclosure. FIG. 7 is a schematic diagram according to a fifth example of the present disclosure. FIG. 7 is a schematic diagram according to a sixth example of the present disclosure. FIG. 2 is a block diagram of an electronic device for implementing a method for detecting signal lamp status data according to an embodiment of the present disclosure.

Hereinafter, exemplary embodiments of the present disclosure will be described with reference to the drawings, in which various details of the embodiments of the present disclosure are included to facilitate understanding and are considered to be exemplary only. Should. Accordingly, those skilled in the art may make various changes and modifications to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and brevity, well-known functions and structures are omitted in the following description.

Traffic signals are one of the important components of modern urban transportation systems, and are mainly used for controlling and managing urban road traffic signals. The traffic signal is a plug-in board with various functional modules such as the main LCD panel, central processing unit (CPU) board, control board, lamp set drive board with photocoupler separation, switching power supply, button board, etc. , a power distribution board, a row of connection terminals, etc.

A traffic signal includes at least one lamp, each lamp may display a different color and time, etc., and the relevant data for directing the movement of vehicles and/or pedestrians of the traffic signal is called signal lamp status data. That is, the traffic light status data can be understood as data that provides instructions for the movement of vehicles and/or pedestrians in terms of time, color, direction, etc. dimensions.

Illustratively, traffic light status data is commonly applied to traffic information distribution, traffic information control, traffic information optimization, etc., to improve the reliability and safety of vehicle and/or pedestrian movement, etc. First, it is necessary to detect signal light status data.

In related technology, a commonly adopted method for detecting signal lamp status data is to first collect signal lamp status data within a first time period, and create a detection rule based on the signal lamp status data within the first time period. For example, the traffic light status data for the first half of the day (for example, the first time period) is reflected on the absolute time axis of 24 hours in a day, and based on that time axis, the traffic light status data in the second time period (for example, the first time period) is reflected. The present invention includes determining the missing status and duplication status of signal lamp status data for a time period after the time period), and determining a detection result of the signal lamp status data based on the missing status and duplication status.

However, on the other hand, the detection rule is created based on the signal light status data within the first time period, and the accuracy and reliability of the signal light status data within the first time period are uncertain. The accuracy and reliability of the detection rule specified based on the traffic light condition data within the time period are uncertain, and as a result, when detecting the traffic light condition data within the second time period based on the detection rule, the detection rule is There may be technical problems with low accuracy and reliability. On the other hand, since the signal lamp status data is segmented and the detection is performed on some of the signal lamp status data (that is, the detection is performed on the signal lamp status data within the second time period), the detection is comprehensive. The disadvantage is that the detection accuracy is poor, which may result in technical problems such as low detection accuracy.

In order to avoid at least one of the above technical problems, the inventors of the present disclosure have performed creative work to obtain the inventive concept of the present disclosure and match the concordance between traffic light status data and control information. Then, the detection result is determined based on the matching result.

The present disclosure provides a method and apparatus for detecting traffic light status data, which is applied in the smart transportation and automatic driving technology field in the artificial intelligence technology field, to achieve the accuracy and reliability of detecting traffic light status data.

FIG. 1 is a schematic diagram according to a first embodiment of the present disclosure. As shown in FIG. 1, the method for detecting signal lamp status data according to the embodiment of the present disclosure includes steps S101 to S102.

In S101, signal lamp status data of the traffic signal lamp is acquired, and control information of the traffic signal lamp is acquired.

Here, the traffic light status data includes cycle time information and/or phase order information, where the cycle time information represents the time information for each lamp of the traffic light to turn on within a cycle, and the phase order information represents the time information for each lamp of the traffic light to turn on within a cycle. It represents the release order of each corresponding phase, and the control information represents the control rule of the traffic signal light.

Illustratively, the execution entity of this embodiment may be a signal light status data detection device (hereinafter abbreviated as detection device), and the detection device is a server (including a local server and a cloud server, and the server is a cloud control platform, roadway coordination management platform, center subsystem, edge computing platform, cloud computing platform, etc.), roadside equipment, terminal equipment, processor It may be a chip or the like, and the present embodiment is not limited thereto.

Here, the roadside equipment includes, for example, a roadside sensing equipment with a calculation function, and a roadside calculation equipment connected to the roadside sensing equipment, and in the system architecture of smart traffic road coordination, the roadside equipment is a roadside sensing equipment and a roadside calculation equipment. the roadside sensing device (e.g., roadside camera) is connected to the roadside computing device (e.g., roadside computing unit RSCU), the roadside computing device is connected to a server, and the server communicates with the autonomous or assisted driving vehicle in various ways. be able to. Alternatively, the roadside sensing device itself includes computing functionality, and the roadside sensing device is directly connected to the server. The above connection may be wired or wireless.

Note that in this embodiment, the method by which the detection device acquires signal lamp state data is not limited. for example,
In one example, the detection device may be connected to a first platform that controls a traffic light and receive traffic light status data transmitted by the first platform.

In other examples, the detection device may be connected to a second platform controlling a traffic light and receive light status data transmitted by the second platform.

In S102, consistency matching is performed on the signal lamp status data and control information to obtain a first matching result, and a detection result of the signal lamp status data is determined based on the first matching result.

According to the above analysis, in one example, the step includes: the detection device performing consistency matching on the cycle time information and the control information, obtaining a first matching result; It may also be understood as determining a detection result based on the detection result.

In another example, the step includes: the detection device performing consistency matching on the phase order information and the control information, obtaining a first matching result, and determining a detection result based on the first matching result. may be understood as doing.

In a further example, the step includes: the detection device performing consistency matching on the cycle time information and the control information and obtaining a first sub-matching result; It may be understood to perform concordance matching, obtain a second sub-matching result, and determine a detection result based on the first sub-matching result and the second sub-matching result.

That is, the detection result may be determined based on the consistency between the cycle time information and the control information, the detection result may be determined based on the consistency between the phase order information and the control information, and the detection result may be determined based on the consistency between the cycle time information and the control information. It may be determined based on two consistency results.

In some embodiments, when the detection result is determined based on the first sub-matching result and the second sub-matching result, the detection device applies a weighting factor to the first sub-matching result and the second sub-matching result. By assigning in advance, the detection result can be determined based on the first sub-matching result, the second sub-matching result, and the weighting coefficients corresponding to each.

As can be seen from the above analysis, this embodiment provides a method for detecting traffic light status data, including the following: Signal lamp status data of a traffic signal lamp is obtained to obtain control information of the traffic signal lamp, where the traffic signal lamp status data includes cycle time information and/or phase sequence information, and the cycle time information is a signal lamp status data of a traffic signal lamp. The phase order information represents the release order of each phase corresponding to the traffic light, the control information represents the control rules of the traffic light, and the traffic light status data and control information are matching is performed to obtain a first matching result, and a detection result of the signal lamp state data is determined based on the first matching result. In this embodiment, a first matching result is determined by consistency matching between traffic light status data and control information, and characteristics of the detection result are determined based on the first matching result. In order to avoid determining the detection result of some signal light status data as the overall detection result in the technology and causing the drawback that the detection result is one-sided and lacking in accuracy and reliability, By employing the first matching result based on consistency matching with control information and determining the detection result, when performing consistency matching between signal lamp status data and control information, The comprehensiveness and completeness of detection can be improved, thereby achieving the technical effect of improving comprehensiveness and accuracy of detection.

As can be seen from the above analysis, the signal lamp status data can be used to indicate the movement of vehicles and/or pedestrians, and the signal lamp status data detection method of this embodiment has high accuracy and reliability; When specifically applying signal lamp status data, the signal lamp status data can be detected first, and if the detection result meets the preset application demand, by applying the signal lamp status data, the signal lamp status data can be applied. Reliability can be improved and vehicular and/or pedestrian movement demands can be met.

For example, the detection result may be an accuracy representing the quality of the traffic light status data, and if the detection result determines that the accuracy of the quality of the traffic light status data is higher than a preset accuracy requirement, then the detection result may be based on the traffic light status data. For example, the traffic information can be distributed on a map, and in this way, when the vehicle drives based on the map, it can timely avoid traffic-impeded road sections and plan a new route in advance. Plan and realize technical effects that provide vehicle driving safety.

Similarly, by displaying signal light status data that meets accuracy requirements on electronic devices such as DuMirror (English: DuMirror, an in-vehicle smart rearview mirror released by Baidu Network Technology Co., Ltd.) and traffic signal control panels. , the technical effect of improving the safety of movement of vehicles and/or pedestrians can be achieved.

As shown in FIG. 2, the intersection may be composed of a first road section, a second road section, a third road section, and a fourth road section, where the first road section and the third road section The sections can be called mutually opposing road sections, and the second road section and the fourth road section can be called mutually opposing road sections, and the traffic light 201 provided on the first road section is corresponding. The traffic signal lamps 202 installed in the second road section are used to instruct the driving of vehicles in the third road section based on the corresponding signal lamp status data, and the traffic signal lamps 202 installed in the second road section are used to instruct the driving of vehicles in the third road section based on the corresponding signal lamp status data. The traffic signal lamp 203 provided in the third road section is used to instruct the driving of vehicles in the first road section based on the corresponding signal lamp status data, The traffic signal light 204 provided in the fourth road section is used to instruct vehicles to travel on the second road section based on the corresponding signal light status data.

The server 205 can acquire signal light status data of at least one of the traffic signal lights 201, 202, 203, and 204, and can detect the signal status data according to the present embodiment. employing a method to detect the acquired traffic light status data and obtain a detection result, where the detection result meets the preset application demands (for example, the accuracy requirements described above may be met); , by displaying the signal light status data on a map and pushing the map containing the signal light status data to the vehicle 206, the vehicle 206 executes a corresponding driving strategy based on the map containing the signal light status data, such as determining a driving route, etc. Plan again.

FIG. 3 is a schematic diagram according to a second embodiment of the present disclosure. As shown in FIG. 3, the method for detecting signal lamp status data according to the embodiment of the present disclosure includes S301 to S303.

In S301, signal lamp status data of the traffic signal lamp is acquired, and control information of the traffic signal lamp is acquired.

Here, the signal lamp status data includes cycle time information, the cycle time information represents time information for each lamp of the traffic signal lights to turn on within a cycle, and the control information represents control rules for the traffic signal lights.

For example, the explanation of S101 may be referred to for the principle of realizing S301, and the explanation will be omitted here.

In S302, the actual lighting time of the traffic signal light in the cycle time information is determined to determine the lighting cycle time of the traffic signal light in the control information.

Here, in the cycle time information, the traffic light may not turn on for the entire cycle period, but only for a part of the time, that is, the actual operating time of the traffic light may be smaller than the cycle period; The actual lighting time in this step is the time during which the traffic signal light is actually turned on within the cycle time corresponding to the cycle time information.

In S303, a first matching result is determined based on the difference between the actual lighting time of the cycle time information and the lighting cycle time of the control information, and a detection result is determined based on the first matching result.

For example, if the actual lighting time of the cycle time information is t1 and the lighting cycle time of the control information is t2, the difference between the two is (t1-t2), and the detection device is (t1-t2). A first matching result can be determined based on t2).

Here, there is an inversely proportional relationship between the first matching result and (t1-t2), that is, the larger (t1-t2) is, the smaller the first matching result is (that is, the degree of matching is lower). ), conversely, the smaller (t1-t2), the larger the first matching result (that is, the higher the degree of matching).

If the detection result represents the quality of the signal lamp status data, the larger the first matching result, the better the quality represented by the detection result, that is, the signal lamp status data is high quality signal lamp status data, and conversely, The smaller the first matching result is, the worse the quality represented by the detection result is, that is, the signal lamp state data is low quality signal lamp state data.

It should be explained that in this example, by determining the detection result based on (t1-t2), the detection result can represent the completeness of the cycle time information, that is, the completeness of the traffic light status data. and the detection result can represent the consistency between the traffic light status data and the control information, thus achieving the technical effect of improving the accuracy and reliability of the detection result.

In some embodiments, S302 and S303 can be replaced as follows. determining the lighting cycle time of the traffic signal light in the cycle time information, determining the lighting cycle time of the traffic signal light in the control information, based on the difference between the lighting cycle time of the cycle time information and the lighting cycle time of the control information; A first matching result is determined, and a detection result is determined based on the first matching result.

For example, if the lighting cycle time determined based on the cycle time information is t3 and the lighting cycle time determined based on the control information is t2, the first matching result is determined based on (t3-t2). can be determined. There is an inversely proportional relationship between the first matching result and (t3-t2), that is, the larger (t3-t2), the smaller the first matching result (in other words, the degree of matching is lower), and vice versa. In other words, the smaller (t3-t2), the larger the first matching result (that is, the higher the degree of matching).

Similarly, in this example, by determining the detection result based on (t3-t2), the detection result can represent the consistency between the traffic light status data and the control information, and therefore the detection result The technical effect of improving accuracy and reliability can be achieved.

It should be noted that each of the embodiments in this example may be practiced independently or combined into one embodiment, and when multiple embodiments are carried out together, the advantages of each embodiment may be A weighting factor can be assigned to each matching result, and a detection result can be determined based on each matching result and each weighting factor.

In some embodiments, the cycle time information includes traffic light turn-on time information and traffic light turn-on cycle times. Determining a detection result of traffic light status data based on the first matching result includes the following steps.

In the first step, a first reliability of the cycle time information is determined based on the lighting time information in the cycle time information and the lighting cycle time in the cycle time information, and the first reliability is the lighting time information in the cycle time information. Represents the accuracy and/or completeness of time information.

In the second step, a detection result is determined based on the first matching result and the first reliability.

This embodiment provides that the detection device can determine the accuracy and/or completeness of the cycle time information itself, that is, determine the first confidence level and compare the first matching result and the first confidence level. It can be understood that a detection result is obtained by combining. It will be appreciated that determining the detection result based on the first confidence level of the cycle time information may be an independent example and the present disclosure is not limiting.

It should be explained that in this embodiment, a first matching result representing the consistency between the traffic light status information and the control information and a first reliability level representing the accuracy and/or completeness of the traffic light status information are combined. By determining the detection result, it is possible to realize the detection of traffic light status data from multiple dimensions, thereby realizing the technical effect of comprehensiveness and accuracy of the detection result.

In one example, the first step includes determining the time the traffic light actually turns on based on the lighting time information in the cycle time information, and determining the time the traffic light actually lights and the lighting cycle in the cycle time information. The method may include calculating first difference information between times and determining a first reliability based on the first difference information.

For example, if the actual lighting time of the traffic signal light is the actual lighting time of the traffic signal light within the cycle, the first difference information is (the actual lighting time of the traffic signal light - lighting cycle time in the cycle time information). may be expressed.

Also, for example, if the actual lighting time of the traffic signal light is the actual lighting time of the traffic signal light within the cycle, the first difference information may be expressed as (the actual lighting time of the traffic signal light - step size). Often, here the step size is the number of seconds countdown, for example, if the countdown goes from m seconds to n seconds, the step size is (m−n).

Furthermore, for example, if the time when a traffic signal light is actually turned on is (lighting cycle time in cycle time information - time at the start of countdown), the first difference information is ((lighting cycle time in cycle time information - time at the start of countdown). time)/lighting cycle time in cycle time information).

Furthermore, for example, if the time the traffic signal lights are actually turned on is the remaining time at the end of the countdown, the first difference information may be expressed as (remaining time at the end of the countdown/lighting cycle time in cycle time information). .

It should be explained that in this embodiment, the first reliability is determined by the first difference information, and specifically, by the actual lighting time of the traffic signal light and the lighting cycle time in the cycle time information, By determining the first difference information, the first confidence level may represent a confidence in the accuracy and/or completeness of the traffic light condition data, thereby providing the first confidence level with respect to the accuracy and/or completeness of the signal light status data. Achieve technical effects that improve reliability.

In another example, the first step includes determining a first abnormal hopping seconds of the traffic light time information based on the lighting time information in the cycle time information, and determining the first abnormal hopping seconds and the cycle time information. The method may include calculating a first ratio between the time information and the lighting cycle time, and determining the first reliability based on the first ratio.

For example, the first abnormal hopping seconds may be the sum of abnormal hopping seconds within a cycle, and abnormal hopping can be understood as follows. If the countdown is 89 seconds, it should first hop to 88 seconds, but if it hops to 87 seconds, it is determined that the abnormal hopping seconds is 1 second, and by analogy, the entire cycle The first ratio may be expressed as (sum of abnormal hopping seconds within a cycle/lighting cycle time in cycle time information).

Also, for example, the number of first abnormal hopping seconds may be the sum of the number of seconds that do not change within a cycle, and the number of seconds that do not change can be understood as follows. If the countdown is 89 seconds, it should first hop to 88 seconds, but if you still hold it at 89 seconds, the number of seconds that will not change is 1 second, and by analogy like this, the number of seconds that will not change within the entire cycle. A sum of seconds may be determined, and the first ratio may be expressed as (sum of seconds that do not change within a cycle/lighting cycle time in cycle time information).

Further for example, the number of first abnormal hopping seconds may be the sum of the number of non-monotonic decreasing seconds within the cycle, where the number of non-monotonically decreasing seconds can be understood as follows. If the countdown is 89 seconds, you should first hop to 88 seconds, but if you hop to 90 seconds and then 88 seconds, the non-monotonic decreasing number of seconds in the cycle is 1 second. By analogy, we determine the sum of seconds of non-monotonic decrease in the entire cycle, and the first ratio is (sum of seconds of non-monotonic decrease in cycle/lighting in cycle time information) cycle time).

Similarly, in this embodiment, by determining the first reliability according to the first abnormal hopping seconds, the first reliability can accurately represent the hopping situation of the traffic light, and thereby , it is possible to realize the technical effect of improving the accuracy and reliability of the first reliability.

FIG. 4 is a schematic diagram according to a third embodiment of the present disclosure. As shown in FIG. 4, the method for detecting signal lamp status data according to the embodiment of the present disclosure includes steps S401 to S403.

In S401, signal lamp status data of the traffic signal lamp is acquired, and control information of the traffic signal lamp is acquired.

Here, the signal light status data includes phase order information, the phase order information represents the release order of each phase corresponding to the traffic signal light, and the control information represents the control rule of the traffic signal light.

For example, the explanation of S101 may be referred to for the principle of realizing S401, and the explanation will be omitted here.

In S402, order information between each phase of the traffic signal light in the phase order information is determined, and order information between each phase of the traffic signal light in the control information is determined.

In S403, consistency matching is performed on the order information between each phase in the phase order information and the order information between each phase in the control information, a first matching result is obtained, and based on the first matching result, Determine the detection result.

For example, if the order information between each phase in the phase order information is a left turn phase, a straight phase, and a right turn phase, and the order information between each phase in the control information is a left turn phase, a right turn phase, and a straight phase, the coincidence between the two will be low. , means that the first matching result is relatively small.

Conversely, if the order information between each phase in the phase order information is a left-turn phase, a straight-line phase, and a right-turn phase, and the order information between each phase in the control information is a left-turn phase, a straight-line phase, and a right-turn phase, the consistency between the two is high (perfect match), meaning that the first matching result is relatively large.

It should be explained that in this embodiment, the detection result is determined based on the matching result of matching the order information between each phase in the phase order information and the order information between each phase in the control information. Therefore, the detection result can represent the consistency of the phase order information between the traffic light status data and the control information, making the detection result comparable and grounded. It has the technical effect of providing high reliability and accuracy.

In some embodiments, S402 and S403 can be replaced as follows. The lighting time in the phase order information of each lamp color of the traffic signal light is determined, the lighting time in the control information of each lamp color of the traffic signal light is determined, and the lighting time in the phase order information and the lighting time in the control information are determined. Then, matching is performed to obtain a first matching result.

In this embodiment, the detection device compares the content of two dimensions in the traffic light status data and the control information (the two dimensions of content are highly related), and the content of one dimension is compared with the lamp color (e.g. A yellow light, a green light, a red light), and the content of another dimension can be understood as the lighting time of a lamp color (for example, the lighting time of a yellow light is 10 seconds, etc.).

Similarly, in this embodiment, the detection result is determined based on the matching result of the consistency between the lighting time in the phase order information and the lighting time in the control information, so that the detection result has high accuracy and reliability. be able to.

In one example, determining a detection result based on the first matching result may include the following steps.

In a first step, each phase in the phase order information is determined, and each phase in the preset traffic road network of the traffic signal light is determined, and each phase in the phase order information and the preset traffic road network are determined. , and a second matching result is obtained.

Here, the traffic road network refers to a network structure built based on traffic lights installed at intersections, and the traffic road network includes multiple nodes, and each node has associated attributes between traffic lights and intersections. and each node has a topological attribute.

Accordingly, the steps can be understood as follows: The detection device determines whether each phase in the phase order information matches each phase in the traffic road network by comparing each phase in the phase order information with each phase in the traffic road network, and thereby determines whether each phase in the phase order information matches each phase in the traffic road network. Get matching results.

In the second step, a detection result is determined based on the first matching result and the second matching result.

It should be explained that in this example, the accuracy of each phase in the traffic light status data is determined by combining the traffic road network, and the detection results are determined by combining the accuracy results (that is, the second matching results). This can realize the technical effect of determining the dimensional diversity of detection results and the flexibility of the method.

In another example, the traffic light status data includes phase time information, where the phase time information includes information on the lighting time for the traffic light in each phase and the lighting cycle time for the traffic light in each phase. Determining a detection result based on the first matching result may include the following steps.

In the first step, a second reliability of the phase time information is determined based on the lighting time information in the phase time information and the lighting cycle time in the phase time information.

Here, the second reliability represents the accuracy and/or completeness of lighting time information in phase time information.

In some embodiments, the first step includes determining the time at which the traffic light is actually turned on based on the lighting time information in the phase time information, and determining the time at which the traffic light is actually turned on and the time at which the traffic light is actually turned on based on the lighting time information in the phase time information. The method may include calculating second difference information between the lighting cycle time and the lighting cycle time, and determining the second reliability based on the difference information.

In some other examples, the first step includes determining a second abnormal hopping seconds of the traffic light time information based on the illumination time information in the phase time information; The method may include calculating a second ratio between the phase time information and the lighting cycle time, and determining a second reliability based on the second ratio.

Regarding the principle of realizing the second difference information and the second reliability, the principle of realizing the first difference information and the first reliability may be referred to in the above example, and the explanation thereof will be omitted here.

In the second step, a detection result is determined based on the first matching result and the second reliability.

Similarly, in this embodiment, by determining the detection result based on the accuracy and/or completeness of the lighting time information in the phase time information, there is a technical effect of improving the accuracy and reliability of the detection result.

It should be noted that each of the embodiments in this example may be practiced independently or combined into one embodiment, and when multiple embodiments are carried out together, the advantages of each embodiment may be A weighting factor can be assigned to each matching result, and a detection result can be determined based on each matching result and each weighting factor.

The second embodiment and the third embodiment may be implemented independently or may be integrated into one embodiment, and the processing method after integration may refer to the above description, The explanation will be omitted here.

It should be explained that when the second embodiment and the third embodiment are integrated into one embodiment, the detection result is a detection result obtained by matching from multiple dimensions (i.e., cycle time information and phase information). Since it is a result, the detection result has comprehensiveness and has the technical effect of further improving the accuracy and reliability of the detection result.

FIG. 5 is a schematic diagram according to a fourth embodiment of the present disclosure. As shown in FIG. 5, the method for detecting signal lamp status data according to the embodiment of the present disclosure includes steps S501 to S504.

In S501, signal lamp status data of the traffic signal lamp is acquired, and control information of the traffic signal lamp is acquired.

Here, the traffic light status data includes cycle time information and/or phase order information, where the cycle time information represents the time information for each lamp of the traffic light to turn on within a cycle, and the phase order information represents the time information for each lamp of the traffic light to turn on within a cycle. It represents the release order of each corresponding phase, and the control information represents the control rule of the traffic signal light.

In S502, consistency matching is performed on the traffic light status data and control information to obtain a first matching result.

Illustratively, the principle of realizing S501 and S502 is the principle of realizing in any of the above embodiments, and the explanation thereof will be omitted here.

In S503, a time interval between two adjacent traffic light status data is determined, and equalization information for acquiring traffic light status data is determined based on the time interval.

Here, the equalization information is used to represent the accuracy with which signal lamp status data is acquired.

Illustratively, the detection device may determine the variance or standard deviation of the time interval and determine equalization information based on the variance or standard deviation.

For example, the smaller the variance or standard deviation, the higher the accuracy of acquiring signal light status data represented by equalization information, and conversely, the larger the variance or standard deviation, the higher the accuracy of acquiring signal light status data represented by equalization information. accuracy is low.

In S504, a detection result is determined based on the equalization information and the first matching result.

It should be explained that in this example, the equalization information can represent the accuracy of acquiring signal light status data, so when determining the detection result by combining the equalization information, the detection result and signal light status data are acquired. This technology is equivalent to being able to express the detection results of traffic light status data from more dimensions, thus improving the comprehensiveness and reliability of the detection results. It has a positive effect.

As can be seen from the above analysis, in some embodiments, detection results for the traffic light status data may be determined based on traffic light status data and control information.

For example, the traffic light status data may include cycle time information, and the detection result may be determined based on the cycle time information and control information.

For example, the traffic light status data may include phase order information, and the detection result may be determined based on the phase order information and control information.

Further, for example, the traffic light status data may include cycle time information and phase sequence information, and the detection result may be determined based on the cycle time information, phase sequence information, and control information.

In other embodiments, the detection results for the traffic light status data may be determined based on the traffic light status data.

For example, the traffic light status data may include cycle time information, and the detection result may be determined based on the cycle time information.

Further, for example, the traffic light status data may include phase order information, and the detection result may be determined based on the phase order information.

Further, for example, the traffic light status data may include phase-time information, and the detection result may be determined based on the phase-time information.

In other embodiments, the detection result may be determined by obtaining the time interval between two adjacent traffic light status data.

In other embodiments, the detection results may be determined based on traffic light status data and traffic road networks.

As will be understood, each of the above examples may be an independent example, or at least some of them may be combined to obtain a new example, and this example is a specific combination between each example. The method is not limited.

FIG. 6 is a schematic diagram according to a fifth embodiment of the present disclosure. As shown in FIG. 6, the signal lamp status data detection device 600 according to the embodiment of the present disclosure includes:
An acquisition unit 601 for acquiring signal light status data of a traffic signal light to obtain control information of the traffic signal light, the signal light status data including cycle time information and/or phase sequence information, and the cycle time information is an acquisition unit 601 representing time information for each lamp of the traffic light to be lit in a cycle, phase sequence information representing a release order of each phase corresponding to the traffic light, and control information representing control rules for the traffic light;
a matching unit 602 for performing consistency matching on signal lamp status data and control information to obtain a first matching result;
a determination unit 603 for determining a detection result of signal lamp status data based on the first matching result.

FIG. 7 is a schematic diagram according to a sixth embodiment of the present disclosure. As shown in FIG. 7, the signal lamp status data detection device 700 according to the embodiment of the present disclosure includes:
An acquisition unit 701 for acquiring signal lamp status data of a traffic signal lamp to acquire control information of the traffic signal lamp, wherein the traffic signal lamp status data includes cycle time information and/or phase sequence information, and the cycle time information is an acquisition unit 701 representing time information for each lamp of the traffic light to be lit in a cycle, phase sequence information representing a release order of each phase corresponding to the traffic light, and control information representing control rules for the traffic light;
It includes a matching unit 702 for performing consistency matching on signal lamp status data and control information to obtain a first matching result.

As can be seen with reference to FIG. 7, in some embodiments, the traffic light status data includes cycle time information, and the matching unit 702
a first determining sub-unit 7021 for determining the actual lighting time of the traffic light in the cycle time information to determine the lighting cycle time of the traffic light in the control information;
a second determining subunit 7022 for determining the first matching result based on the difference between the actual lighting time of the cycle time information and the lighting cycle time of the control information.

In some embodiments, when the traffic light status data includes cycle time information, matching unit 702 includes:
a first determining sub-unit 7021 for determining the lighting cycle time of the traffic signal light in the cycle time information to determine the lighting cycle time of the traffic signal light in the control information;
a second determining subunit 7022 for determining the first matching result based on the difference between the lighting cycle time of the cycle time information and the lighting cycle time of the control information.

As can be seen with reference to FIG. 7, in some embodiments, when the traffic light status data includes phase order information, the matching unit 702
a third determining subunit 7023 for determining order information between each phase of the traffic light in the phase order information to determine order information between each phase of the traffic light in the control information;
The first matching subunit 7024 performs consistency matching on the order information between each phase in the phase order information and the order information between each phase in the control information, and obtains a first matching result.

In some embodiments, when the traffic light status data includes phase order information, the matching unit 702
a third determination subunit 7023 for determining the lighting time in the phase order information of each lamp color of the traffic signal light, and determining the lighting time in the control information of each lamp color of the traffic signal light;
The first matching subunit 7024 performs consistency matching on the lighting time in the phase order information and the lighting time in the control information to obtain a first matching result.

The determining unit 703 is used to determine the detection result of the traffic light status data based on the first matching result.

As can be seen with reference to FIG. 7, in some embodiments, the cycle time information includes traffic light turn-on time information and traffic light turn-on cycle times. The determining unit 703
a fourth determination subunit 7031 for determining a first reliability of cycle time information based on lighting time information in the cycle time information and lighting cycle time in the cycle time information, the first reliability includes a fourth determining subunit 7031 representing the accuracy and/or completeness of the lighting time information in the cycle time information.

In some embodiments, the fourth determining subunit 7031 includes:
a first determination module for determining the time when the traffic light is actually turned on based on the lighting time information in the cycle time information; a calculation module for calculating first difference information between the two; and a second determination module for determining the first reliability based on the first difference information;
or a first determination module for determining a first abnormal hopping seconds of time information of a traffic signal light based on lighting time information in the cycle time information; a calculation module for calculating a first ratio between lighting cycle times and a second determination module for determining a first reliability based on the first ratio.

A fifth determining sub-unit 7032 is used to determine the detection result based on the first matching result and the first confidence level.

In some embodiments, determining unit 703 includes:
a fourth determining subunit 7031 for determining equalization information for determining a time interval between two adjacent traffic light status data to obtain traffic light status data based on the time interval; is a fourth determination subunit 7031 used to represent the accuracy of obtaining traffic light status data;
a fifth determining subunit 7032 for determining a detection result based on the equalization information and the first matching result.

In some embodiments, the traffic light status data includes phase time information, where the phase time information includes information on how long the traffic light is on in each phase, and how long the traffic light is on in each phase. The determining unit 703
a fourth determining subunit 7031 for determining a second reliability of the phase time information based on lighting time information in the phase time information and lighting cycle time in the phase time information, the second reliability includes a fourth determining subunit 7031 representing the accuracy and/or completeness of the lighting time information in the phase time information.

In some embodiments, the fourth determining subunit 7031 includes:
a first determination module for determining the time at which the traffic light is actually turned on based on the lighting time information in the phase time information, and the time at which the traffic light is actually turned on and the lighting cycle time in the phase time information; a calculation module for calculating second difference information between the two; and a second determination module for determining the second reliability based on the difference information,
or a first determination module for determining a second abnormal hopping number of seconds of time information of a traffic signal light based on lighting time information in the phase time information; and a second determination module for determining a second reliability based on the second ratio.

A fifth determining sub-unit 7032 is used to determine the detection result based on the first matching result and the second confidence level.

As can be seen with reference to FIG. 7, in some embodiments, determination unit 703:
a sixth determining sub-unit 7033 for determining each phase in the phase order information to determine each phase in a preset traffic road network of traffic lights;
a second matching subunit 7034 for performing consistency matching on each phase in the phase order information and each phase in a preset traffic road network to obtain a second matching result;
a seventh determining subunit 7035 for determining a detection result based on the first matching result and the second matching result.

According to embodiments of the disclosure, the disclosure further provides an electronic device and a readable storage medium.

According to embodiments of the disclosure, the disclosure further provides a computer program, the computer program being stored on a readable storage medium, at least one processor of the electronic device being able to read the computer program from the readable storage medium; One processor causes the electronic device to execute the scheme according to any of the embodiments described above by executing a computer program.

FIG. 8 shows a schematic block diagram of an example electronic device 800 that can be used to implement embodiments of the present disclosure. Electronic equipment is intended to refer to various types of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, large format computers, and other suitable computers. Electronic devices may also refer to various types of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices, and other similar computing devices. The components, their connections and relationships, and their functionality depicted herein are illustrative only and are not intended to limit implementation of the present disclosure as described and/or required herein.

As shown in FIG. 8, the electronic device 800 includes a computing unit 801, which executes computer programs stored in a read-only memory (ROM) 802 or loaded into a random access memory (RAM) 803 from a storage unit 808. Based on the information, various appropriate actions and processing may be performed. The RAM 803 may further store various programs and data necessary for operating the device 800. Computation unit 801, ROM 802, and RAM 803 are interconnected by bus 804. An input/output (I/O) interface 805 is also connected to bus 804.

A plurality of components in the device 800 are connected to an I/O interface 805 and include an input unit 806, e.g. a keyboard, a mouse, etc., an output unit 807, e.g. various types of displays, speakers, etc., e.g. a magnetic disk, an optical disk, etc. It includes a storage unit 808, and a communication unit 809, such as a network card, modem, wireless communication transceiver, etc. Communication unit 809 allows device 800 to exchange information/data with other devices via computer networks such as the Internet and/or various telecommunication networks.

Computing unit 801 may be a general purpose and/or special purpose processing component with various processing and computing capabilities. Some examples of computational units 801 include central processing units (CPUs), graphics processing units (GPUs), various specialized artificial intelligence (AI) computational chips, computational units that execute various machine learning model algorithms, digital signals, etc. including, but not limited to, a processor (DSP), and any suitable processor, controller, microcontroller, etc. The calculation unit 801 performs the methods and processes described above, such as the method for detecting traffic light status data. For example, in some embodiments, the method for detecting traffic light status data is implemented as a computer software program and tangibly included in a machine-readable medium, such as storage unit 808. In some embodiments, some or all of the computer program may be loaded and/or installed on device 800 via ROM 802 and/or communication unit 809. When the computer program is loaded into the RAM 803 and executed by the calculation unit 801, one or more steps of the method for detecting traffic light status data described above can be performed. Alternatively, in other embodiments, the calculation unit 801 may be configured to perform the method for detecting traffic light status data in any other suitable manner (eg, by firmware).

Various embodiments of the systems and techniques described herein include digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), special purpose integrated circuits (ASICs), special purpose standard products (ASSPs), and system-on-a-chip systems. (SOC), load programmable logic device (CPLD), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may be implemented in one or more computer programs that are executed and/or interpreted on a programmable system that includes at least one programmable processor. the programmable processor, which may be a special purpose or general purpose programmable processor, receives data and instructions from a storage system, at least one input device, and at least one output device; Data and instructions can be transmitted to the storage system, the at least one input device, and the at least one output device.

Program code for implementing the methods of this disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program codes may be provided to a flowchart and/or The functions/operations specified in the block diagram are implemented. The program code may execute entirely on the device, partially on the device, as a separate software package, partially on the device and partially on a remote device, or completely on the device. may be executed on a remote device or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that contains or stores a program for use by or in conjunction with an instruction-execution system, device, or device. Good too. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the above. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory. (EPROM or flash memory), fiber optics, portable compact disk read-only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the above content.

To provide interaction with a user, a computer may implement the systems and techniques described herein, and the computer may include a display device (e.g., a CRT (cathode ray tube) or a liquid crystal display (LCD) monitor), and a keyboard and pointing device (eg, a mouse or trackball) through which a user can provide input to the computer. Other types of devices are used to provide further user interaction. For example, the feedback provided to the user may be any form of sensing feedback (e.g., visual feedback, auditory feedback, or haptic feedback), and any form of sensing feedback (e.g., including acoustic, audio, or tactile input). ) may receive input from the user.

The systems and techniques described herein may be used in computing systems that include back-end components (e.g., data servers), or that include middleware components (e.g., application servers), or that include front-end components. (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with embodiments of the systems and techniques described herein); It may be implemented in a computing system that includes any combination of back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (eg, a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

A computer system may include a client and a server. Clients and servers are generally remote from each other and typically interact via a communications network. The client and server relationship is created by computer programs running on corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also referred to as a cloud computing server or cloud host, and is one host product of a cloud computing service system, thereby separating traditional physical hosts and VPS services (“Virtual Private Server ” or abbreviated as “VPS”), which have high management difficulty and weak service expandability. The server may be a distributed system server or a blockchain combined server.

It should be understood that the various forms of flow illustrated above can be used to change the order, add, or delete steps. For example, each step described in this application may be performed in parallel, sequentially, or in a different order, as long as the desired result of the technical solution disclosed in this application can be achieved, and is not limited to this specification. .

The above specific embodiments do not limit the protection scope of the present disclosure. Those skilled in the art should understand that various modifications, combinations, subcombinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this disclosure should be included in the protection scope of this disclosure.

Claims (19)

A method for detecting signal lamp status data, which is performed by a signal lamp status data detection device, the method comprising:
obtaining signal lamp status data of a traffic signal lamp and control information of the traffic signal lamp, the signal lamp status data including cycle time information and/or phase sequence information; represents time information for each lamp of lighting in a cycle, the phase order information represents a release order of each phase corresponding to the traffic light, and the control information represents a control rule for the traffic light;
Performing consistency matching on the signal lamp status data and the control information to obtain a first matching result, and determining a detection result of the signal lamp status data based on the first matching result. fruit,
the detection device is connected to a first platform controlling the traffic light and receives the traffic light status data transmitted by the first platform;
When the signal lamp state data includes the cycle time information, and the cycle time information includes lighting time information of the traffic signal lamp and lighting cycle time of the traffic signal lamp, the signal lamp status data is determined based on the first matching result. Determining the detection results of state data is
determining a first reliability of the cycle time information based on lighting time information in the cycle time information and a lighting cycle time in the cycle time information, wherein the first reliability is based on lighting time information in the cycle time information; Representing the accuracy and/or completeness of lighting time information in the information;
determining the detection result based on the first matching result and the first confidence level,
Determining a first reliability of the cycle time information based on the lighting time information in the cycle time information and the lighting cycle time in the cycle time information,
determining a first abnormal hopping number of seconds in the time information of the traffic signal light based on the lighting time information in the cycle time information, and determining a difference between the first abnormal hopping number of seconds and the lighting cycle time in the cycle time information; and determining the first confidence level based on the first ratio.
How to detect signal light status data. When the signal lamp status data includes cycle time information, performing consistency matching on the signal lamp status data and the control information to obtain a first matching result:
determining an actual lighting time of the traffic light in the cycle time information to determine a lighting cycle time of the traffic light in the control information;
determining the first matching result based on a difference between an actual lighting time of the cycle time information and a lighting cycle time of the control information;
The method for detecting signal lamp status data according to claim 1. When the signal lamp status data includes cycle time information, performing consistency matching on the signal lamp status data and the control information to obtain a first matching result:
determining a lighting cycle time of the traffic signal light in the cycle time information to determine a lighting cycle time of the traffic signal light in the control information;
determining the first matching result based on a difference between a lighting cycle time of the cycle time information and a lighting cycle time of the control information;
The method for detecting signal lamp status data according to claim 1. When the signal lamp status data includes phase order information, performing consistency matching on the signal lamp status data and the control information to obtain a first matching result:
determining order information between each phase in the phase order information of the traffic signal light, and determining order information between each phase in the control information of the traffic signal light;
performing consistency matching on the order information between each phase in the phase order information and the order information between each phase in the control information, and obtaining the first matching result;
The method for detecting signal lamp status data according to claim 1. When the signal lamp status data includes phase order information, performing consistency matching on the signal lamp status data and the control information to obtain a first matching result:
determining a lighting time in the phase order information for each lamp color of the traffic signal light, and determining a lighting time in the control information for each lamp color of the traffic signal light;
performing consistency matching on the lighting time in the phase order information and the lighting time in the control information to obtain a first matching result;
The method for detecting signal lamp status data according to claim 1. When the signal lamp status data includes the phase order information, determining a detection result of the signal lamp status data based on the first matching result,
determining each phase in the phase order information, determining each phase in a preset traffic road network of the traffic signal light, and determining each phase in the phase order information and each phase in the preset traffic road network; and determining whether each phase in the phase order information matches each phase in the preset traffic road network to obtain a second matching result , , the preset traffic road network refers to a network structure built based on traffic lights installed at intersections, the preset traffic road network includes a plurality of nodes, and each node is connected to the traffic light and an association attribute between the node and the intersection, and each node has a topology attribute ;
determining the detection result based on the first matching result and the second matching result;
The method for detecting signal lamp status data according to any one of claims 1 to 5. The signal light status data includes phase time information, and the phase time information includes lighting time information for the traffic light in each phase, and lighting cycle time for the traffic light in each phase, and the phase time information includes lighting time information for the traffic light in each phase, and Determining the detection result of the traffic light status data based on the matching result includes:
determining a second reliability of the phase time information based on lighting time information in the phase time information and a lighting cycle time in the phase time information, wherein the second reliability is based on the lighting time information in the phase time information; Representing the accuracy and/or completeness of lighting time information in the information;
determining the detection result based on the first matching result and the second reliability;
The method for detecting signal lamp status data according to any one of claims 1 to 5. Determining a second reliability of the phase time information based on lighting time information in the phase time information and a lighting cycle time in the phase time information,
Based on the lighting time information in the phase time information, determine the time when the traffic light actually lights up, and determine the second time between the time when the traffic light actually lights up and the lighting cycle time in the phase time information. calculating difference information of the traffic light and determining the second reliability based on the difference information, or determining a second abnormal hopping of the time information of the traffic signal light based on the lighting time information in the phase time information. determining a second number of seconds, calculating a second ratio between the second abnormal hopping number of seconds and a lighting cycle time in the phase time information, and determining the second confidence level based on the second ratio. including determining the
The method for detecting signal lamp status data according to claim 7 . A signal lamp status data detection device,
An acquisition unit for acquiring signal lamp status data of a traffic signal lamp to acquire control information of the traffic signal lamp, the signal lamp status data including cycle time information and/or phase sequence information, and the cycle time The information represents time information for each lamp of the traffic light to turn on within a cycle, the phase order information represents the release order of each phase corresponding to the traffic light, and the control information represents control rules for the traffic light. an acquisition unit representing
a matching unit for performing consistency matching on the signal lamp status data and the control information to obtain a first matching result;
a determination unit for determining a detection result of the traffic light status data based on the first matching result ,
the detection device is connected to a first platform controlling the traffic light and receives the traffic light status data transmitted by the first platform;
If the signal lamp status data includes the cycle time information, and the cycle time information includes lighting time information of the traffic signal lamp and lighting cycle time of the traffic signal lamp, the determining unit:
a fourth determining sub-unit for determining a first reliability of the cycle time information based on lighting time information in the cycle time information and a lighting cycle time in the cycle time information, the first a fourth determining subunit representing the accuracy and/or completeness of lighting time information in the cycle time information;
a fifth determining subunit for determining the detection result based on the first matching result and the first confidence level;
The fourth determining subunit is:
a first determination module for determining a first abnormal hopping number of seconds of time information of the traffic light based on lighting time information in the cycle time information; and the first abnormal hopping number of seconds and the cycle time. a calculation module for calculating a first ratio between the information and the lighting cycle time; and a second determination module for determining the first reliability based on the first ratio.
Signal light status data detection device. When the traffic light status data includes cycle time information, the matching unit:
a first determining subunit for determining the actual lighting time of the traffic light in the cycle time information to determine the lighting cycle time of the traffic light in the control information;
a second determining subunit for determining the first matching result based on a difference between an actual lighting time of the cycle time information and a lighting cycle time of the control information;
The signal lamp status data detection device according to claim 9 . When the traffic light status data includes cycle time information, the matching unit:
a first determining subunit for determining the lighting cycle time of the traffic light in the cycle time information to determine the lighting cycle time of the traffic light in the control information;
a second determining subunit for determining the first matching result based on a difference between a lighting cycle time of the cycle time information and a lighting cycle time of the control information;
The signal lamp status data detection device according to claim 9 . When the traffic light status data includes phase order information, the matching unit:
a third determining subunit for the traffic light to determine order information between each phase in the phase order information, and for the traffic light to determine order information between each phase in the control information;
a first matching subunit for performing consistency matching on order information between each phase in the phase order information and order information between each phase in the control information and obtaining the first matching result; include,
The signal lamp status data detection device according to claim 9 . When the traffic light status data includes phase order information, the matching unit:
a third determining subunit for determining the lighting time in the phase order information of each lamp color of the traffic signal light, and determining the lighting time in the control information of each lamp color of the traffic signal light;
a first matching subunit for performing consistency matching on the lighting time in the phase order information and the lighting time in the control information to obtain a first matching result;
The signal lamp status data detection device according to claim 9 . If the traffic light status data includes the phase order information, the determining unit:
a sixth determining sub-unit for determining each phase in the phase order information to determine each phase in a preset traffic road network of the traffic light;
Compare each phase in the phase order information with each phase in a preset traffic road network, and determine whether each phase in the phase order information matches each phase in the preset traffic road network. a second matching sub-unit for determining whether the predetermined traffic road network is a network constructed based on traffic lights installed at intersections and obtaining a second matching result; Referring to the structure, the preset traffic road network includes a plurality of nodes, each node has an association attribute between the traffic light and the intersection, and each node has a second node having a topology attribute. and a matching subunit of
a seventh determination subunit for determining the detection result based on the first matching result and the second matching result;
The signal lamp status data detection device according to any one of claims 9 to 13 . The traffic light status data includes phase time information, the phase time information includes lighting time information for the traffic light in each phase, and lighting cycle time for the traffic light in each phase, and the determining unit is configured to: ,
a fourth determining sub-unit for determining a second reliability of the phase time information based on lighting time information in the phase time information and a lighting cycle time in the phase time information; a fourth determining subunit representing the accuracy and/or completeness of lighting time information in the phase time information;
a fifth determining subunit for determining the detection result based on the first matching result and the second confidence level;
The signal lamp status data detection device according to any one of claims 9 to 13 . The fourth determining subunit is:
a first determination module for determining the time when the traffic light is actually turned on based on the lighting time information in the phase time information; the time when the traffic signal light is actually turned on; and the lighting time in the phase time information; a calculation module for calculating second difference information between cycle times; and a second determination module for determining the second reliability based on the difference information,
or a first determination module for determining a second abnormal hopping second number of the time information of the traffic signal light based on the lighting time information in the phase time information; and the second abnormal hopping number of seconds and the a calculation module for calculating a second ratio between the phase time information and the lighting cycle time; and a second determination module for determining the second reliability based on the second ratio. include,
The signal light status data detection device according to claim 15 . An electronic device comprising at least one processor and a memory communicatively connected to the at least one processor, the electronic device comprising:
Instructions executable by the at least one processor are stored in the memory, and the instructions are executed by the at least one processor to provide the at least one processor with the instructions according to any one of claims 1 to 8 . The detection method of traffic light status data can be executed.
Electronics. A non-transitory computer-readable medium having computer instructions stored thereon, the computer instructions being used to cause a computer to execute the method for detecting traffic light status data according to any one of claims 1 to 8 .
Non-transitory computer-readable medium. A computer program, the computer program realizing the method for detecting signal lamp status data according to any one of claims 1 to 8 when executed by a processor.
computer program.

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